Deep generative modeling (DGE) have revolutionized diverse fields by generating realistic synthetic data. To optimize the performance of these models, researchers are constantly exploring new optimization algorithms. A common approach involves fine-tuning hyperparameters through grid search, aiming to minimize the objective function. Other promisin